• Ajay Jadhav
• Nikhil Kapadne
• Nikhil Jadhav
• Nikhil Jadhav

TV Show Popularity prediction using sentiment analysis is one of the most interesting and challenging tasks. A critical demand along this line is to predict the popularity of online serials, which can enable a wide range of applications, such as online advertising, and serial recommendation. The problem motivation stated above suggest is that it is only the viewer of a program who is responsible for its popularity or failure and if we anyhow can identify the most common features of a program which, the viewers want most, and through some effective scientific methodology could insert these requirements in the proposed TV program well at the time of production. The purpose of this work is to evaluate the performance of TV Show and also calculate how many people are liked to a particular show or actors of that show and predicting Popularity of that shows, based on the text reviews. We are getting reviews on social networking websites like Twitter.

Broadcast TV, Popularity Prediction, Dynamic time wrapping,Random forests regressionGradient boosting decision tree

"Big Data Analytics for Program Popularity Prediction in Broadcast TV Industries.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.501-503, April-2019, Available :http://www.jetir.org/papers/JETIR1904D67.pdf

"Big Data Analytics for Program Popularity Prediction in Broadcast TV Industries.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp501-503, April-2019, Available at : http://www.jetir.org/papers/JETIR1904D67.pdf